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西北地区能源-环境-经济可持续发展预警研究—以陕西省为例

宋敏 刘学敏

中国人口·资源与环境2012,Vol.22Issue(5):133-138,6.
中国人口·资源与环境2012,Vol.22Issue(5):133-138,6.DOI:10.3969/j.issn.1002-2104.2012.05.022

西北地区能源-环境-经济可持续发展预警研究—以陕西省为例

Early Warning Research of Energy Industry of Sustainability Development in Shaanxi

宋敏 1刘学敏2

作者信息

  • 1. 北京师范大学资源学院,北京100875
  • 2. 西安财经学院/陕西资源环境与区域经济研究中心,陕西西安710100
  • 折叠

摘要

Abstract

Resource, environment and economy are the material basis of the survival of human society and economic development. The development of resources' economy not only brought rapid economic prosperity, but also led to the degradation of local economic, social and ecological environment. As an important energy basis in the 21st Century, energy development and utilization in Shaanxi is constrained by fragile ecological environment. The early warning research is representative and practical significance. The paper designs these early-warning indicators and the early-warning model in resource - environment - economy with the application of artificial neural network warning method and AHP. The paper combines the related data and designs the Matlab7.1 programs for the sustainable development of early warning research. The results show that, the tendency of Shaanxi 3E sustainable development in 2000 -2014 is in heavy, common, light and no alarm, which is in accordance with the development of Shaanxi energy industry. The early warning indicator can reveal the characteristics of sustainable development of energy, environment and economy. The method of BP artificial neural network based on the early warning function is valid in the research of the sustainable development of energy industry.

关键词

能源-环境-经济/BP人工神经网络/预警

Key words

energy - environment - economy/BP artificial neural network/early warning

分类

管理科学

引用本文复制引用

宋敏,刘学敏..西北地区能源-环境-经济可持续发展预警研究—以陕西省为例[J].中国人口·资源与环境,2012,22(5):133-138,6.

基金项目

本文受教育部人文社科研究基金项目(编号:12YJC790162).陕西省普通高校哲学社会科学特色学科建设项目"西部区域经济与产业发展研究",陕西省教育厅科研计划项目(编号:11JK0063)和陕西社科基金项目(编号:11D013)资助. (编号:12YJC790162)

中国人口·资源与环境

OA北大核心CSSCICSTPCD

1002-2104

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